Wei Li
University of Sheffield, Chongqing University of Posts and Telecommunications, California State University, Bakersfield, Shenyang Institute of Automation, University of York, California State University System, Tsinghua University, Tianjin University, Intelligent Fusion Technology (United States)
Papers
36
Total Citations
964
H-Index
17
About
Wei Li is a multidisciplinary robotics and neurotechnology researcher whose work spans swarm robotics, brain-computer interfaces (BCIs), and autonomous systems. His foundational contributions to swarm robotics include pioneering decentralized strategies for cooperative transport and object clustering, enabling miniature robots with minimal sensing capabilities to accomplish complex collective tasks — work that has garnered nearly 250 citations combined. Equally influential is his sustained research into EEG-based brain-robot interaction, where he has developed and refined systems allowing humans to control humanoid robots through neural signals, including SSVEP- and P300-based models evaluated on platforms like the Cerebot robot. His 2020 paper on motor imagery EEG recognition, leveraging empirical mode decomposition and convolutional neural networks, has attracted over 160 citations, reflecting the field's growing momentum. Li has also explored the fusion of human and machine intelligence to enhance real-time BRI performance, chemical plume tracking for autonomous robots, and evolvable robot fabrication within the Autonomous Robot Evolution project. With a body of work exceeding 700 citations, Li's research sits at a compelling intersection of collective intelligence, assistive neurotechnology, and adaptive autonomous systems — making his profile essential reading for anyone working in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1Occlusion-Based Cooperative Transport with a Swarm of Miniature Mobile Robots177 citations · 2015
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- 3Progress in EEG-Based Brain Robot Interaction Systems73 citations · 2017
- 4Clustering objects with robots that do not compute71 citations · 2014
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- 6A Brain–Robot Interaction System by Fusing Human and Machine Intelligence46 citations · 2019
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- 103D Moth-inspired chemical plume tracking and adaptive step control strategy22 citations · 2016